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Facebook 200-101 Exam is an industry-wide accepted certification test that provides digital marketing professionals with the necessary skills and knowledge required to develop and implement effective Facebook marketing campaigns. Facebook Certified Marketing Science Professional certification test is divided into four sections, and each section is designed to cover different areas of expertise. Additionally, Facebook's certification program provides candidates with the tools and resources necessary to pass the test and become certified Facebook Certified Marketing Science Professionals.
Facebook 200-101 exam is a comprehensive test that covers a wide range of topics related to marketing science. 200-101 exam consists of 60 multiple-choice questions that must be completed within 90 minutes. The questions are designed to test the candidate's knowledge of various topics such as data analysis, measurement, and optimization techniques. 200-101 exam is available in multiple languages and can be taken online from anywhere in the world.
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Facebook 200-101 exam is a two-hour exam that consists of 50 multiple-choice questions. To pass the exam, individuals must score at least 700 out of 1000 points. Facebook recommends that individuals have at least six months of experience in Facebook marketing before taking the exam. However, there are no prerequisites for taking the exam, and anyone can take the exam regardless of their experience level.
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To become a Facebook Certified Marketing Science Professional, candidates must pass the 200-101 exam, which consists of 75 multiple-choice questions. 200-101 exam is timed and lasts for 90 minutes, and candidates must score at least 700 out of 1000 to pass. 200-101 exam fee is $150, and candidates can take the exam online or at a testing center. Once certified, marketers can showcase their achievement on their LinkedIn profile, resume, or website to attract potential clients or employers.
Reference: https://www.facebook.com/business/learn/certification/exams/200-101-exam#
Facebook 200-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Recommend Measurement Solutions | 18% | - Design tests to address hypotheses - Determine feasibility of measurement solutions - Recommend suitable measurement approaches and tools |
| Topic 2: Make Data-Driven Recommendations | 13% | - Identify iterative measurement opportunities - Provide recommendations for future marketing campaigns - Communicate insights clearly to stakeholders |
| Topic 3: Perform an Analysis | 20% | - Interpret data visualizations - Interpret statistical outputs and regression results - Prepare and manipulate data for analysis - Apply statistical and exploratory analysis methods |
| Topic 4: Assess | 20% | - Evaluate data quality and relevance of existing data sources - Compare and evaluate different measurement methodologies - Align business goals with KPIs and analysis plans - Communicate assumptions based on situation assessment |
| Topic 5: Hypothesise | 13% | - Determine appropriate actions based on hypothesis validation or invalidation - Translate business goals into testable hypotheses |
| Topic 6: Generate Insights | 16% | - Apply concepts to validate or invalidate hypotheses - Evaluate impact of measurement approach on KPIs - Synthesize results from statistical and data analyses |
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